首页 | 本学科首页   官方微博 | 高级检索  
     

短路GMAW焊在线质量监测的多变量统计过程控制方法
引用本文:李迪,曾安,叶峰,赖乙宗.短路GMAW焊在线质量监测的多变量统计过程控制方法[J].机械工程学报,2003,39(8):86-90.
作者姓名:李迪  曾安  叶峰  赖乙宗
作者单位:华南理工大学机械工程学院,广州,510640
基金项目:国家自然科学基金(50005007),广东省自然科学基金(990550)
摘    要:熔化极保护气体焊(GMAW)广泛地应用在自动焊尤其是机器人焊接过程中,机器人焊接过程中的快节拍要求对焊接质量进行自动监测及备份。现采用焊接过程中的电信号,通过对过程电信号的处理,实现对被加工部件质量的在线判别。通过分析单变量统计过程控制(SPC)对焊接过程的质量监测,发现了其存在的局限性,并在此基础上,采用多变量统计过程控制(MSPC),实现了GMAW过程的在线质量监控;最后在自开发的在线监测系统上,试验验证MSPC方法的可行性。

关 键 词:熔化极保护气体焊  统计过程控制  多变量统计过程控制  在线监测
修稿时间:2002年7月3日

MULTIVARIATE STATISTICAL PROCESS CONTROL FOR ON LINE MONITORING OF SHORT-CIRCUITING GMAW
Li Di Zeng An Ye Feng Lai Yizong.MULTIVARIATE STATISTICAL PROCESS CONTROL FOR ON LINE MONITORING OF SHORT-CIRCUITING GMAW[J].Chinese Journal of Mechanical Engineering,2003,39(8):86-90.
Authors:Li Di Zeng An Ye Feng Lai Yizong
Affiliation:South China University of Technology
Abstract:Gas metal arc welding (GMAW) is widely used in automatic welding especially in robotic welding. The quick response characteristic in robotic welding requires the on line automatic monitoring as well as documentation of welding quality. The electrical signal of welding process is used in order to realize the on line identification of weld quality by processing the electrical parameters. By first analyzing the results of statistical process control, it is found that the method has its limitation. The multivariate statistical process control method is put forward to realize the on line monitoring of weld quality. Experiments have verified its feasibility.
Keywords:Gas metal arc welding Statistical process control Multivariate statistical process control On line monitoring
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号